Web of Science: 19 cites, Scopus: 19 cites, Google Scholar: cites
Urinary Peptide Profiling to Differentiate between Minimal Change Disease and Focal Segmental Glomerulosclerosis
Pérez Jiménez, Vanessa (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Ibernon, Meritxell (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
López, Dolores (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Pastor, María Cruz (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Navarro, Maruja (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Navarro-Muñoz, Maribel (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Bonet Sol, Josep (Institut Germans Trias i Pujol. Hospital Universitari Germans Trias i Pujol)
Romero, Ramón (Universitat Autònoma de Barcelona. Departament de Medicina)

Data: 2014
Resum: Minimal change disease (MCD) and primary focal segmental glomerulosclerosis (FSGS) are the main causes of primary idiopathic nephrotic syndrome in children and adults, with diagnosis being essential for the appropriate choice of therapy and requiring renal biopsy. However, the presence of only normal glomeruli on renal biopsy of FSGS patients may lead to the misclassification of these patients as having MCD. The aim of this study was to (i) compare the peptide profile of MCD and FSGS patients with that of a group of healthy subjects, (ii) generate and validate a class prediction model to classify MCD and FSGS patients and (ii) identify candidate biomarkers of these glomerular entities by analysis of the urinary peptidome. The urinary peptide profile was analyzed by magnetic bead-based technology combined with MALDI-TOF mass spectrometry in 44 patients diagnosed of MCD (n = 22) and FSGS (n = 22). The resulting spectra were compiled and analyzed using ClinProTools software. A class prediction model was developed to differentiate MCD and FSGS patients. The validation of this model correctly classified 81. 8% (9/11) of MCD patients and 72. 7% (8/11) of FSGS patients. Moreover, the signal with m/z 1913. 60, identified as a fragment of uromodulin, and the signal with m/z 2392. 54, identified as a fragment of alpha-1-antitrypsin, showed higher and lower peak areas, respectively, in FSGS patients compared with MCD patients. The simple, non-invasive technique described in the present study may be a useful tool to help clinicians by confirming diagnoses achieved by renal biopsy, thereby reducing misdiagnoses and avoiding the implementation of inappropriate therapies.
Ajuts: Ministerio de Sanidad y Consumo RD06/0016
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Publicat a: PloS one, Vol. 9 (january 2014) , ISSN 1932-6203

DOI: 10.1371/journal.pone.0087731
PMID: 24498182


9 p, 463.2 KB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut d'Investigació en Ciencies de la Salut Germans Trias i Pujol (IGTP)
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 Registre creat el 2022-02-07, darrera modificació el 2023-12-12



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